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Integrative Solutions in Online Crowdsourcing Innovation Challenges

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dc.contributor.author Zaggl, Michael
dc.contributor.author Sun , Yao
dc.contributor.author Majchrzak , Ann
dc.contributor.author Malhotra , Arvind
dc.date.accessioned 2020-12-24T20:01:33Z
dc.date.available 2020-12-24T20:01:33Z
dc.date.issued 2021-01-05
dc.identifier.isbn 978-0-9981331-4-0
dc.identifier.uri http://hdl.handle.net/10125/71215
dc.description.abstract Online crowdsourcing challenges are widely used for problem-solving and innovation. Existing theory has characterized such challenges as tools for tapping distant knowledge. By building on information processing theory we move beyond this characterization and present a perspective that describes innovation challenges as virtual places in which ideas are not simply submitted or commented upon but knowledge is integrated. This perspective shifts the role of crowdsourcing challenges from mere tools for gathering ideas to representing the locus of innovation. Our perspective suggests that three types of knowledge affect the quality of integrative solutions: elementary ideas, facts, and analogical examples. Based on a large dataset, we find that elementary ideas and analogical examples are related to increased solution quality, while facts are related to decreased solution quality. We expand the research on online crowdsourcing innovation challenges to include how crowd participants influence the quality of solutions through the content of their postings.
dc.format.extent 10 pages
dc.language.iso English
dc.relation.ispartof Proceedings of the 54th Hawaii International Conference on System Sciences
dc.rights Attribution-NonCommercial-NoDerivatives 4.0 International
dc.rights.uri https://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subject Emerging Trends in Crowd Science
dc.subject crowds
dc.subject crowdsourcing
dc.subject ideation
dc.subject information processing
dc.subject innovation challenges
dc.subject integrative solutions
dc.title Integrative Solutions in Online Crowdsourcing Innovation Challenges
dc.identifier.doi 10.24251/HICSS.2021.597
prism.startingpage 4911
Appears in Collections: Emerging Trends in Crowd Science


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